基于自适应观测器的混沌保密通信系统

基于混沌同步技术和自适应观测器,设计一种保密通信系统。使用Lorenz混沌系统对原信号进行加密,利用自适应观测器对加密信号进行解密,以实现保密通信。仿真实验表明,该系统的算法简单、响应速度快,能实现响应系统与驱动系统的同步,提高混沌保密通信的质量和安全性。     

基于多涡卷混沌系统的数字保密通信方案

为增强传统的混沌保密通信系统抗干扰能力和提高其保密性,提出了一种基于多涡卷混沌系统同步的数字保密通信方案.在该加密方案中,利用多涡卷混沌系统的特点来构造流密码.数值模拟结果表明:该保密通信系统具有很高的抗差函数攻击能力,在同步信号被干扰时,保密通信系统具有一定的抗误码率.     

参数扰动下的混沌同步控制及其保密通信方案

研究了变参数混沌系统的同步控制问题及其保密通信方案设计.主要创新点可归结如下:第一,提出了利用混沌系统状态变量来构造变参数系统参数扰动项的思想,研究了混沌系统参数在另一组混沌序列持续扰动下的同步控制问题.混沌系统对参数具有敏感依赖性,当混沌系统的参数被另一组混沌序列持续扰动时,系统将产生更加难以预测的混沌行为.第二,对加密后的信息信号再进行一次非线性叠来生成加密端与解密端之间的通信信号,而不是直接以加密信号作为通信信号,使得实际传输的通信信号具有更复杂的形式从而难以被破译.此外,该方案只需向接收系统发送一路信号,且同步控制器简单,实用性较强.数值模拟和理论分析表明该方案具有良好的通信、保密特性和较广的适用范围.     

CNN超混沌同步保密通信系统的研究

常规的混沌同步保密通信系统一般是在理想状态下进行研究的,但实际上,混沌信号不可避免地受到各种噪声的干扰,这将直接影响保密通信的效果.将高斯白噪声加入到由细胞神经网络构造的超混沌同步保密通信信号系统,提出通过选择反馈矩阵的方法可将噪声的影响降至最低.且将已用混沌系统多个状态变量加密后的信号与连续信号进行相加和相乘,增加了传输信号的复杂性,提升了通信系统的安全性.     

基于驱动蔡氏电路的混沌通信研究

该文介绍了驱动蔡氏电路及蔡氏二极管的实现方案,利用数学分析论述了产生混沌的原因,并建立了驱动．响应保密通信系统,仿真试验表明：利用混沌掩盖方案,把消息信号伪装在混沌信号里,同时能在响应部分正确地解调出加密的信号来达到保密通信的目的。     

一种改进的多级混沌加密系统

1 引言由于混沌信号具有高度的类随机特性和不可预测性,因此近年来混沌理论及其在保密通信、信息安全中的应用研究日益得到人们的广泛重视。我们知道通信中的同步是至关重要的。而关于混沌系统的同步,早在90年代初,L.M.Pecora和T.L.Carroll就在《物理学评论通信》(Physical Review Letters)上发表了题为“混沌系统中的同步”的研究报告,报道了他们在混沌同步方面所取得的具有里程碑意义的贡献。在这之后很多混沌保密通信方案几乎都是基于同步而获得的。文[2]采用同步混沌系统研究了一种新的混沌掩盖通信方案,它分为同步和信息传递两个阶段,同步阶段负责系统的同步,而传递阶段则只负责传递信息。文[3]研究了关于在驱动-响应混沌系统中通过只传递一个标量信号来实现自适应同步问题。文[4]提出了一种基于密码学的异构混沌系统,使用传统的同步方案实现了数字信号的保密通信。     

一类时滞混沌系统的修正函数投影拟同步

参数失配是基于同步技术的混沌保密通信研究中不可回避的问题.以典型的Lur'e时滞混沌系统为研究对象,利用脉冲控制技术,在驱动-响应系统参数发生失配的情况下,实现了驱动-响应系统的修正函数投影拟同步,同时给出了拟同步的充分条件,估计了拟同步误差限,最后通过数值仿真验证了理论分析的正确有效性.     

一类混合延迟混沌神经网络的同步

时滞混沌神经网络系统是解空间为无穷维系统,可生成多个正向Lyapunov指数,产生具有高度随机性和不可预测性的混沌甚至超混沌序列,这种特性使得时滞混沌神经网络系统特别适用于保密通信中,混沌同步是保密通信中的关键技术。基于Lyapunov稳定性理论和线性矩阵不等式(LMI)方法,研究了一类具有时变延迟和分布式延迟的混沌神经网络系统的同步问题,考虑系统的内部参数不确定性和外部干扰及混合时滞等因素,将系统时滞项加入所设计的控制器中,给出了保证误差系统的全局均方渐近稳定的充分条件和控制律,实现驱动系统和响应系统的同步。与其它方法相比,所设计的含有时滞项的控制器提高了系统误差精度及反应速率。最后,通过仿真实例,验证了所提方法的有效性。     

单向耦合混沌同步及其在保密通信中的应用

采用单向耦合同步法,利用Lyapunov稳定性定理、全局同步法及最大Lyapunov指数法分别对Lorenz系统、变形耦合发电机系统及超混沌Chen系统的自同步进行了研究.为适用于混沌保密通信,使用单路信号实现了驱动系统与响应系统的同步,并给出将超混沌Chen系统的自同步用于混沌掩盖保密通信的具体例子.数值模拟验证了所给方案的有效性.     

时滞混沌系统的同步与反同步及其在保密通信中的应用

根据Lyapunov稳定性理论结合线性矩阵不等式技巧,研究了一类时滞混沌神经网络的同步与反同步问题,设计了各自的状态反馈控制器,并从理论上实现了此类时滞混沌系统的同步与反同步。最后将此类混沌系统应用于保密通信,通过同步与反同步系统的切换,设计出具体的数字保密通信方案,数值仿真验证了该方法的有效性。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.